An automated inbound/outbound voice calling system combining speech, LLM reasoning and telephony automation for client outreach.
An AI voice automation system built and tested for client use — handling outbound calls (appointment reminders, follow-ups) and inbound call triage without a human on every call. The system converts speech to text, reasons over it with an LLM, and responds with generated speech in near real time.
Telephony trigger → speech-to-text → LLM reasoning against a call script/context → text-to-speech response, orchestrated through n8n workflows that also log call outcomes and trigger follow-up actions (CRM updates, notifications).
Speech recognition errors on noisy lines could send the conversation in the wrong direction entirely.
Added confirmation steps at key decision points in the call flow instead of acting on a single unconfirmed transcription.
Naturalistic conversation timing (not talking over the caller, not leaving dead air) was harder to get right than the reasoning itself.
Tuned response latency and turn-taking logic specifically, treating it as its own engineering problem separate from the LLM's answer quality.
Set up and tested as part of client automation work at ByteForce IT Solutions, giving clients an automated first pass on routine calls before human involvement is needed.